Open Access1型糖尿病的发病率与离海距离:一项描述性的流行病学研究
Author(s) -
Abela Alexia G.,
Fava Stephen
Publication year - 2019
Publication title -
journal of diabetes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.949
H-Index - 43
eISSN - 1753-0407
pISSN - 1753-0393
DOI - 10.1111/1753-0407.12862
Subject(s) - incidence (geometry) , medicine , latitude , diabetes mellitus , etiology , correlation , epidemiology , type 1 diabetes , demography , mathematics , endocrinology , geography , geodesy , geometry , sociology
Background Increasingly, environmental factors are being shown to play a role in the etiology of type 1 diabetes (T1D). One geographical feature that exerts a major effect on climate but whose relationship with T1D incidence has not been studied is distance from the sea. This study investigated any possible relationship between distance from the sea and the incidence of T1D. Methods Spearman correlation analysis was performed to investigate the relationship between the incidence of T1D (determined using data from the DiaMond Project) and distance from the sea. This was followed by multivariate analyses to adjust for potential cofounders. Results A significant negative association was found between T1D incidence and shortest distance from sea ( r = −0.251, P = 0.01235), mean hours of sunshine ( r = −0.325, P = 0.002), and mean temperature ( r = −0.224, P = 0.046), and a positive association was found between T1D incidence and latitude ( r = 0.434, P = 0.0001). Multivariate analysis (generalized linear model) showed that both distance from the sea and latitude were independently associated with the incidence of T1D. The association of distance from sea and the incidence of T1D remained significant even after adjusting for mean temperature ( P = 0.002) and mean hours of sunshine ( P = 0.005). Conclusions The data show that there is a negative correlation between distance from the sea and the incidence of T1D, which was independent of latitude, mean temperature, and mean hours of sunshine. This suggests that environmental factors associated with climatic conditions may influence the risk of T1D.